Predicate logic | Mathematical notation | Logic symbols

Free variables and bound variables

In mathematics, and in other disciplines involving formal languages, including mathematical logic and computer science, a free variable is a notation (symbol) that specifies places in an expression where substitution may take place and is not a parameter of this or any container expression. Some older books use the terms real variable and apparent variable for free variable and bound variable, respectively. The idea is related to a placeholder (a symbol that will later be replaced by some value), or a wildcard character that stands for an unspecified symbol. In computer programming, the term free variable refers to variables used in a function that are neither local variables nor parameters of that function. The term non-local variable is often a synonym in this context. A bound variable, in contrast, is a variable that has been bound to a specific value or range of values in the domain of discourse or universe. This may be achieved through the use of logical quantifiers, variable-binding operators, or an explicit statement of allowed values for the variable (such as, "…where is a positive integer".) Examples are given in the next section. However it is done, the variable ceases to be an independent variable on which the value of the expression depends, whether that value be a truth value or the numerical result of a calculation, or, more generally, an element of an image set of a function. Note that while the domain of discourse in many contexts is understood, when an explicit range of values for the bound variable has not been given, it may be necessary to specify the domain in order to properly evaluate the expression. For example, consider the following expression in which both variables are bound by logical quantifiers: This expression evaluates to false if the domain of and is the real numbers, but true if the domain is the complex numbers. The term "dummy variable" is also sometimes used for a bound variable (more commonly in general mathematics than in computer science), but this should not be confused with the identically named but unrelated concept of dummy variable as used in statistics, most commonly in regression analysis. (Wikipedia).

Free variables and bound variables
Video thumbnail

Biology: Independent vs. Dependent Variables

This animation describes the difference between independent variables and dependent variables as they relate to biology. This is the second video in a two-part series. Watch the first video, "Controlled Experiments", here: https://youtu.be/D3ZB2RTylR4 After viewing this video, the viewer

From playlist High School Biology Animations | Nucleus Edu

Video thumbnail

C54 Free undamped motion

A look at free, simple harmonic motion without any damping.

From playlist Differential Equations

Video thumbnail

Chain rule for functions of two variables

Free ebook http://tinyurl.com/EngMathYT A example on the mathematics of the chain rule for functions of two variables.

From playlist A second course in university calculus.

Video thumbnail

Using Variables in Science – The Foundations of Statistical Analysis and Scientific Testing (1-5)

Continuing our discussion about variables, you will learn how variables are used in science. Specifically, when we do statistics, we need independent and dependent variables. Independent variables are often categorical (groups) and dependent variables are typically measured on a scale. You

From playlist WK1 Numbers and Variables - Online Statistics for the Flipped Classroom

Video thumbnail

Limit doesn't exist 2 variables example

Example of how to show a limit doesn't exist for a function of 2 variables.

From playlist Engineering Mathematics

Video thumbnail

(PP 6.2) Multivariate Gaussian - examples and independence

Degenerate multivariate Gaussians. Some sketches of examples and non-examples of Gaussians. The components of a Gaussian are independent if and only if they are uncorrelated.

From playlist Probability Theory

Video thumbnail

(PP 3.2) Types of Random Variables

(0:00) Discrete random variables. (1:08) Random variables with densities. (3:35) Decomposition into discrete, absolutely continuous, and singular continuous parts. (7:12) Relationship with discrete & density-type random variables. A playlist of the Probability Primer series is avai

From playlist Probability Theory

Video thumbnail

Conceptual Questions about Random Variables and Probability Distributions

Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Conceptual Questions about Random Variables and Probability Distributions

From playlist Statistics

Video thumbnail

SCOPE and FREE and BOUND Variables in Predicate Logic - Logic

In this video on Logic, we learn how to identify scope as well as determine whether variables are free or bound. We also talk about whether a formula is open or closed. 0:00 - [Intro] 0:56 - [Scope] 4:22 - [Free and Bound Variables] 8:14 - [Open and Closed Formulas] 11:37 - [Exercise] #S

From playlist Logic in Philosophy and Mathematics

Video thumbnail

Type Systems and Proof Assistant - Vladimir Voevodsky

Vladimir Voevodsky Professor, School of Mathematics, IAS October 10, 2012 For more videos, visit http://video.ias.edu

From playlist Mathematics

Video thumbnail

Model Theory - part 03 - Terms, Formulas, Sequents

He we are a little bit more precise about keeping track of what fragments of formal languages we are using. This becomes relevant when you want to interpret them later. Caramello's book was useful in preparing this. We also found the post on nCatLab useful.

From playlist Model Theory

Video thumbnail

Lecture 5A: Assignment, State, and Side-effects

MIT 6.001 Structure and Interpretation of Computer Programs, Spring 2005 Instructor: Harold Abelson, Gerald Jay Sussman, Julie Sussman View the complete course: https://ocw.mit.edu/6-001S05 YouTube Playlist: https://www.youtube.com/playlist?list=PLE18841CABEA24090 Assignment, State, and S

From playlist MIT 6.001 Structure and Interpretation, 1986

Video thumbnail

Phase transitions of random constraint satisfaction problems – Allan Sly – ICM2018

Probability and Statistics Invited Lecture 12.5 Phase transitions of random constraint satisfaction problems Allan Sly Abstract: Random constraint satisfaction problems encode many interesting questions in the study of random graphs such as the chromatic and independence numbers. Ideas f

From playlist Probability and Statistics

Video thumbnail

Limits of functions of two variables

Free ebook http://tinyurl.com/EngMathYT We discuss limits of functions of two variables and how to evaluate them. We present some simple examples and some more involved epsilon-delta techniques. We apply the ideas to continuity of functions.

From playlist Several Variable Calculus / Vector Calculus

Video thumbnail

Lecture 5A | MIT 6.001 Structure and Interpretation, 1986

Assignment, State, and Side-effects Despite the copyright notice on the screen, this course is now offered under a Creative Commons license: BY-NC-SA. Details at http://ocw.mit.edu/terms Subtitles for this course are provided through the generous assistance of Henry Baker, Hoofar Pou

From playlist MIT 6.001 Structure and Interpretation, 1986

Video thumbnail

From joins to aggregates and optimisation problems: Professor Dan Olteanu, University of Oxford

This is an advanced data science class on recent advances on the foundations of database query processing. The first part details a recent body of work on worst-case optimal join algorithms for a range of data representation formalisms, including the LeapFrog TrieJoin algorithm for relati

From playlist Data science classes

Video thumbnail

Probabilistic analysis of random CSPs - Nike Sun

Marston Morse Lectures Topic: Probabilistic analysis of random CSPs Speaker: Nike Sun Affiliation: Massachusetts Institute of Technology Date: April 21, 2021  For more video please visit http://video.ias.edu

From playlist Mathematics

Video thumbnail

4. Forbidding a subgraph III: algebraic constructions

MIT 18.217 Graph Theory and Additive Combinatorics, Fall 2019 Instructor: Yufei Zhao View the complete course: https://ocw.mit.edu/18-217F19 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62qauV_CpT1zKaGG_Vj5igX How does one construct graphs that do not contain complet

From playlist MIT 18.217 Graph Theory and Additive Combinatorics, Fall 2019

Video thumbnail

Prob & Stats - Random Variable & Prob Distribution (1 of 53) Random Variable

Visit http://ilectureonline.com for more math and science lectures! In this video I will define and gives an example of what is a random variable. Next video in series: http://youtu.be/aEB07VIIfKs

From playlist iLecturesOnline: Probability & Stats 2: Random Variable & Probability Distribution

Video thumbnail

Serre’s problem for diagonal conics - Sofos - Workshop 1 - CEB T2 2019

Efthymios Sofos (Max Planck Institute for Mathematics, Bonn) / 22.05.2019 Serre’s problem for diagonal conics Assume that B is a large real number and let c1, c2, c3 be three randomly chosen integers in the box [−B,B]3. Consider the probability that the “random” curve c1X2 +c2Y2 +c3Z2 =

From playlist 2019 - T2 - Reinventing rational points

Related pages

Lambda lifting | Summation | Dummy variable (statistics) | Boolean-valued function | Mathematical notation | Substitution (logic) | Lambda calculus | Operator (mathematics) | Computable function | Abstract syntax tree | Formal language | Expression (mathematics) | Universe (mathematics) | Coreference | Mathematics | Grammaticality | Binding (linguistics) | Tree traversal | Bound variable pronoun | Domain of discourse | Mathematical logic | Government and binding theory | Logical conjunction | Combinatory logic